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The goal of sportsdataverse-py is to provide the community with a python package for working with sports data as a companion to the cfbfastR, hoopR, and wehoop R packages. Beyond data aggregation and tidying ease, one of the multitude of services that sportsdataverse-py provides is for benchmarking open-source expected points and win probability metrics for American Football.


sportsdataverse-py can be installed via pip:

pip install sportsdataverse

or from the repo (which may at times be more up to date):

git clone
cd sportsdataverse-py
pip install -e .

Our Authors


To cite the sportsdataverse-py Python package in publications, use:

BibTex Citation

author = {Gilani, Saiem},
title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
url = {},
season = {2021}